claim-vet 2025.12.21083952

A new package designed to streamline the process of identifying and addressing false notices filed by companies like Flock and Cyble Inc. This tool will accept text input describing a notice or compla

claim-vet

claim-vet is a package designed to help organizations quickly identify and assess potentially false or misleading notices filed by companies such as Flock and Cyble Inc. It streamlines the process of analyzing notice or complaint texts using advanced language models, providing structured insights into the nature of the notices, indicators of falsity, and suggested next steps.

Installation

You can install claim-vet via pip:

pip install claim_vet

Usage

Here's a basic example of how to use claim_vet in your Python code:

from claim_vet import claim_vet

user_input = "Your notice or complaint text goes here..."
response = claim_vet(user_input)
print(response)

Parameters

• user_input (str): The text content describing the notice or complaint to analyze.
• llm (Optional[BaseChatModel]): A Langchain language model instance to use for processing. If not provided, the default ChatLLM7 will be used.
• api_key (Optional[str]): API key for LLM7. If not provided, the function will attempt to retrieve it from the environment variable LLM7_API_KEY. You can also pass it directly as an argument.

Custom LLM Usage

You can pass your own language model instance (e.g., OpenAI, Anthropic, Google) by creating it with the respective library and passing it to the claim_vet function:

from langchain_openai import ChatOpenAI
from claim_vet import claim_vet

llm = ChatOpenAI()
response = claim_vet(user_input, llm=llm)

Other supported models include:

from langchain_anthropic import ChatAnthropic
llm = ChatAnthropic()
response = claim_vet(user_input, llm=llm)

from langchain_google_genai import ChatGoogleGenerativeAI
llm = ChatGoogleGenerativeAI()
response = claim_vet(user_input, llm=llm)

Environment and API Keys

The default setup uses the ChatLLM7 from langchain_llm7, which has sufficient free-tier rate limits for most purposes. To extend usage, obtain an API key from Llm7 Token Service and set it via environment:

export LLM7_API_KEY='your_api_key'

Or pass directly:

response = claim_vet(user_input, api_key='your_api_key')

Development and Contribution

Contributions are welcome! Please raise issues or pull requests on the GitHub repository.

Support

For issues or questions, contact the author at:
Name: Eugene Evstafev
Email: [e-mail]

Repository

Find the project and report issues at:
https://github.com/chigwell/claim-vet